| from typing import Sequence |
|
|
| import numpy as np |
|
|
| from pandas._typing import ( |
| AxisInt, |
| DtypeObj, |
| Self, |
| Shape, |
| ) |
|
|
| class NDArrayBacked: |
| _dtype: DtypeObj |
| _ndarray: np.ndarray |
| def __init__(self, values: np.ndarray, dtype: DtypeObj) -> None: ... |
| @classmethod |
| def _simple_new(cls, values: np.ndarray, dtype: DtypeObj): ... |
| def _from_backing_data(self, values: np.ndarray): ... |
| def __setstate__(self, state): ... |
| def __len__(self) -> int: ... |
| @property |
| def shape(self) -> Shape: ... |
| @property |
| def ndim(self) -> int: ... |
| @property |
| def size(self) -> int: ... |
| @property |
| def nbytes(self) -> int: ... |
| def copy(self, order=...): ... |
| def delete(self, loc, axis=...): ... |
| def swapaxes(self, axis1, axis2): ... |
| def repeat(self, repeats: int | Sequence[int], axis: int | None = ...): ... |
| def reshape(self, *args, **kwargs): ... |
| def ravel(self, order=...): ... |
| @property |
| def T(self): ... |
| @classmethod |
| def _concat_same_type( |
| cls, to_concat: Sequence[Self], axis: AxisInt = ... |
| ) -> Self: ... |
|
|
